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ABSTRACT
An algorithm is presented for constructing a quadtree for a region given its boundary in the form of a chain code. Analysis of the algorithm reveals that its execution time is proportional to the product of the perimeter and the log of the diameter of the region.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Hunter, G.M., and Steiglitz, K. Operations on images using quadtrees. IEEE Trans. on Pattern Analysis and Machine Intell. 1 (1979), 145-153.
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Hunter, G.M., and Steiglitz, K. Linear transformation of pictures represented by quadtrees. Comptr. Graphics and Image Processing 10 (1979), 289-296.
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Klinger, A., and Rhodes, M.L. Organization and access of image data by areas. IEEE Trans. on Pattern Analysis and Machine lntell. 1 (1979), 50-60.
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Peter Naur , J. W. Backus , F. L. Bauer , J. Green , C. Katz , J. McCarthy , A. J. Perlis , H. Rutishauser , K. Samelson , B. Vauquois , J. H. Wegstein , A. van Wijngaarden , M. Woodger, Report on the algorithmic language ALGOL 60, Communications of the ACM, v.3 n.5, p.299-314, May 1960
[doi> 10.1145/367236.367262]
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Samet, H. An algorithm for converting rasters to quadtrees. To appear in 1EEE Trans. on Pattern Analysis and Machine lntell. (1980).
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CITED BY 17
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Claude Puech , Hussein Yahia, Quadtrees, octrees, hyperoctrees: a unified analytical approach to tree data structures used in graphics, geometric modeling and image processing, Proceedings of the first annual symposium on Computational geometry, p.272-280, June 05-07, 1985, Baltimore, Maryland, United States
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